{"id":"W2907264500","doi":"10.5539/ass.v15n1p49","title":"Discovering Lecturers’ Perspectives of the Use of ‘English for Academic Survival Mobile Learning Module’ (Tutor Me) Among Tertiary Students","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TUTOR; Medical education; Higher education; Tertiary level; Psychology; Blended learning; Mathematics education; Educational technology; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00351902,0.000241384,0.0002723348,0.0006518215,0.001707371,0.002959813,0.0006520163,0.0008185312,0.002620063],"category_scores_gemma":[0.01090785,0.0002783684,0.0003230698,0.0003242444,0.001239628,0.001241058,0.001604172,0.001464846,0.0005946616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077216,"about_ca_system_score_gemma":0.0009168311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003523544,"about_ca_topic_score_gemma":0.006338069,"domain_scores_codex":[0.9963791,0.00214,0.0001643911,0.0002041413,0.0006295627,0.0004829055],"domain_scores_gemma":[0.990563,0.003401871,0.001821364,0.0002197727,0.001469562,0.002524416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001846357,0.0002965458,0.1316381,0.000245063,0.00003062664,0.002338322,0.8179936,0.000114573,0.01164687,0.0007720371,0.00266639,0.03207333],"study_design_scores_gemma":[0.00001022462,0.0005786989,0.06545421,0.0001224719,0.00002875963,0.0009366665,0.9178699,0.0002589404,0.001723027,0.0001075471,0.01285224,0.0000574128],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964654,0.0002713389,0.0002332852,0.000823004,0.00003028857,0.00001036747,0.00001593233,0.000009398758,0.002140859],"genre_scores_gemma":[0.9970393,0.0003364211,0.000184819,0.0003217794,0.00002187182,0.00001007617,0.00001596786,0.000006285258,0.002063552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003523544,"threshold_uncertainty_score":0.01861054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759211731979789,"score_gpt":0.3067540211696592,"score_spread":0.2891619038498613,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}